load("/lustre/scratch117/cellgen/team218/gp7/Joe/Jupyter/PAGA.rda")
cannot open compressed file '/lustre/scratch117/cellgen/team218/gp7/Joe/Jupyter/PAGA.rda', probable reason 'No such file or directory'Error in readChar(con, 5L, useBytes = TRUE) : cannot open the connection
load("/lustre/scratch117/cellgen/team218/gp7/Joe/Jupyter/PAGA.rda")
cannot open compressed file '/lustre/scratch117/cellgen/team218/gp7/Joe/Jupyter/PAGA.rda', probable reason 'No such file or directory'Error in readChar(con, 5L, useBytes = TRUE) : cannot open the connection
library(data.table)
Registered S3 method overwritten by 'data.table':
  method           from
  print.data.table     
data.table 1.14.0 using 30 threads (see ?getDTthreads).  Latest news: r-datatable.com

Attaching package: ‘data.table’

The following object is masked _by_ ‘.GlobalEnv’:

    .N
library(tseries)
Registered S3 method overwritten by 'quantmod':
  method            from
  as.zoo.data.frame zoo 

    ‘tseries’ version: 0.10-48

    ‘tseries’ is a package for time series analysis and computational finance.

    See ‘library(help="tseries")’ for details.
library(ggplot2)
PAGA_graph_connectivities <- read.matrix("/lustre/scratch117/cellgen/team218/gp7/Joe/PAGA", header = T, sep = ",")
cannot open file '/lustre/scratch117/cellgen/team218/gp7/Joe/PAGA': No such file or directoryError in count.fields(file, sep = sep, skip = skip) : 
  cannot open the connection
save(/lustre/scratch117/cellgen/team218/gp7/Joe/PAGA/)


node = "9:67029664-67029742"


ggplot() +
  geom_point(data=PAGA, aes(FA1, FA2), colour="grey", alpha=0.05) +
  geom_point(data=pseudopool_matrix.PAGA[Coord==node, ], aes(FA1, FA2, colour=PSI, size=log(SN_Reads) ), alpha=0.5 ) +
   scale_colour_gradient2(low = "steelblue", midpoint = 0.5, mid = "lightskyblue3", high = "firebrick", na.value = "gray40") +
  theme_bw() +
  theme(legend.position = "top")
PAGA_graph_connectivities.melted$value <- as.numeric(as.character(PAGA_graph_connectivities.melted$value))

PAGA_graph_connectivities.melted[value==0, ]

is.data.table(PAGA_graph_connectivities.melted)
node="15:77091812-77091854"
edges <- merge(PAGA_net[ , .(Var1=as.character(Var1), Var2=as.character(Var2), value)], vert, by.x='Var1', by.y='cluster')
Error in is.data.table(y) : object 'vert' not found

layout.fruchterman.reingold
function (..., params = list()) 
{
    do_call(layout_with_fr, .args = c(list(...), params))
}
<bytecode: 0x55e467194978>
<environment: namespace:igraph>

General view

Warning message:
In readChar(file, size, TRUE) : truncating string with embedded nuls
ggplot(pseudopool_matrix.zscore.PAGA[Coord==node, ]) +
        geom_point(aes(FA1, FA2, colour=cluster, size=log(n_cells)), position = position_jitter(w = 3e3, h = 3e3), alpha=0.5 ) +
                theme_bw() +
     #scale_colour_gradient2(low = "steelblue", midpoint = 0.5, mid = "lightskyblue3", high = "firebrick", na.value = "gray40") +
        theme(legend.position = "none") 

library("ggrepel")

ggplot() +
  
        geom_point(data=PAGA, aes(FA1, FA2, colour=batch), alpha=0.2) +
  #      geom_point(data=pseudopool_matrix.zscore.PAGA[Coord==node, ], aes(FA1, FA2, colour=PSI, size=log(n_cells)), position = position_jitter(w = 2e3, h = 2e3), alpha=0.5 ) +
                theme_bw() +
  #   scale_colour_gradient2(low = "steelblue", midpoint = 0.5, mid = "lightskyblue3", high = "firebrick", na.value = "gray40") +
        theme(legend.position = "top") 

total_genes.gene_table <- data.table(getBM(attributes=c('ensembl_gene_id', "mgi_symbol"),filters = 'ensembl_gene_id', values = total_genes , mart = ensembl_mm))
Error in getBM(attributes = c("ensembl_gene_id", "mgi_symbol"), filters = "ensembl_gene_id",  : 
  object 'total_genes' not found
#Good
#Elavl2
#Msi1

#Bad
#Ptbp2

gene_vector <- c("Mbnl1", "Elavl2", "Rbfox2", "Rbm24", "Msi1", "Esrp1")
#gene_vector <- c("Elavl2", "Celf4", "Msi1", "Srrm4", "Elavl3", "Elavl1")


#gene_vector <- c("Mbnl1", "Ptbp2", "Rbfox2", "Rbm24", "Ptbp3", "Esrp1")

PAGA.genes <- merge( gene_count[mgi_symbol %in%  gene_vector,] , PAGA[ ,.(cell=V1, FA1, FA2)], by="cell", all.y=T  )

#PAGA.genes$cell <- factor( PAGA.genes$cell, levels= PAGA.genes[order(TpM)]$cell)


ggplot() +
        geom_point(data=PAGA, aes(FA1, FA2), color="lightgray", alpha=0.1) +  
        geom_point(data=PAGA.genes[!is.na(mgi_symbol) & !is.na(TpM), ][order(TpM)], aes(FA1, FA2, colour=log10(TpM)), alpha=0.2) +
  #      geom_point(data=pseudopool_matrix.zscore.PAGA[Coord==node, ], aes(FA1, FA2, colour=PSI, size=log(n_cells)), position = position_jitter(w = 2e3, h = 2e3), alpha=0.5 ) +
  
  facet_wrap(. ~ mgi_symbol, ncol=2) +
                theme_classic() +
     scale_colour_gradient2(low = "steelblue", midpoint = 2, mid = "lightskyblue3", high = "firebrick", na.value = "gray40", limits=c(0,4)) +
          theme(legend.position = "top", panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
panel.background = element_blank())  +
  theme(axis.title.x=element_blank(),
        axis.text.x=element_blank(),
        axis.ticks.x=element_blank(),
        axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank(), strip.text.x = element_text(size = 12, face="bold")
        )


fig6.a <- ggplot() +
          geom_segment(data=edges, aes(x=FA1.x, y=FA2.x, xend = FA1.y, yend = FA2.y, size=value), colour="grey" ) + 

xlab("FoceAtlas1") +
  ylab("FoceAtlas2") +
                  theme_bw() +
    scale_size( range = c(0.01, 2)) +
        theme(legend.position = "top") +
    geom_text_repel(data = vert.names, colour="black", aes(FA1, FA2), size=2.7, 
    box.padding = unit(1, 'lines'),
     point.padding = 0.5,
    segment.size=0.2,
    max.overlaps=Inf,
    segment.linetype="dashed",
                label=vert.names$cell_type )  +
  
          geom_text(data=vert.names, aes(FA1, FA2, label=cluster, colour=Class ),

                    fontface='bold', size=4) 

fig6.a

library("ggrepel")

ggplot()+
  geom_point(data=total_diff, aes(-DeltaPsi.mean, Probability.mean), alpha=0.1, colour="grey" ) +
  geom_point(data=total_diff[ diff==TRUE, ], aes(-DeltaPsi.mean, Probability.mean, size=-log10(cdf.beta), color=Type), alpha=0.5) +
  ylab("Mean Probability") + 
   xlab("Mean dPSI") +
   # facet_grid(. ~ diff_name) +
  facet_wrap(~   diff_type + diff_name) +
  theme_bw() +
  scale_color_manual (values=gg_color_hue(9), drop=F) +
 theme(legend.position = "top")  +
  ylim(0.5, 1.25) +
  
#  geom_text_repel(data = total_diff[diff==TRUE &  toupper(mgi_symbol) %in% interesting_genes, ],
 #               colour="black", aes(-DeltaPsi.mean, Probability.mean), 
  #              nudge_y      = 0.07,
   #             direction    = "x",
    #            angle        = 90,
     #           vjust        = 1,
      #          segment.size = 0.1,
       #         max.overlaps  = Inf,
        #        label=total_diff[diff==TRUE &  toupper(mgi_symbol) %in% interesting_genes , mgi_symbol] ) 

  
  geom_text_repel(data = total_diff[diff==TRUE &  toupper(mgi_symbol) %in% splicing_regulation, ],
                colour="black", aes(-DeltaPsi.mean, Probability.mean), 
                nudge_y      = 0.07,
                direction    = "x",
                angle        = 90,
                vjust        = 1,
                segment.size = 0.1,
                label=total_diff[diff==TRUE &  toupper(mgi_symbol) %in% splicing_regulation , mgi_symbol] ) 
---
title: "R Notebook"
output: html_notebook
---

```{r}
 save(PAGA_net,
      pseudopool_matrix.zscore.PAGA_graph,
      pseudopool_matrix.zscore.PAGA,
      pseudopool_matrix.PAGA,
      PAGA,
      file = '/lustre/scratch117/cellgen/team218/gp7/Joe/Jupyter/PAGA.rda') 


```

```{r}
load("/lustre/scratch117/cellgen/team218/gp7/Joe/Jupyter/pseudopool_matrix_data.rda")
load("/lustre/scratch117/cellgen/team218/gp7/Joe/Jupyter/PAGA.rda")
```


```{r}
library(data.table)
library(tseries)
library(ggplot2)
library(ggrepel)
```

```{r}
total_node_reads <- pseudopool_matrix[ , .(node_reads=sum(as.numeric(Total_Reads), na.rm = T)), by="Coord"]

total_diff.high_cov <- merge(total_node_reads[node_reads>2000, ], total_diff[ diff=="TRUE", ], by="Coord")
total_diff.high_cov[ , .(mgi_symbol, Coord, node_reads, Node, Type, diff_name) ][order(Coord)]
```

```{r}

```


```{r}
library(tseries)

PAGA_graph_connectivities.melted <-data.table(PAGA_graph_connectivities.melted)

PAGA_graph_connectivities.melted[Var1=='23' & Var2=='0',]

PAGA_graph_connectivities <- fread("/lustre/scratch117/cellgen/team218/gp7/Joe/PAGA")

PAGA_graph_connectivities <- read.matrix("/lustre/scratch117/cellgen/team218/gp7/Joe/PAGA", header = T, sep = ",")
PAGA_graph_connectivities <- PAGA_graph_connectivities[ ,2:ncol(PAGA_graph_connectivities) ]

PAGA_graph_connectivities.melted <- melt(PAGA_graph_connectivities)
PAGA_graph_connectivities.melted$Var1 <- as.character(PAGA_graph_connectivities.melted$Var1)
PAGA_graph_connectivities.melted$Var2 <- as.character(PAGA_graph_connectivities.melted$Var2)

PAGA_graph_connectivities.melted <- data.table(PAGA_graph_connectivities.melted)

PAGA_graph_connectivities.melted$value <-as.numeric(PAGA_graph_connectivities.melted$value)

```

```{r}
save(/lustre/scratch117/cellgen/team218/gp7/Joe/PAGA/)
```


```{r}
PAGA.old <- fread("/lustre/scratch117/cellgen/team218/gp7/Joe/PAGA_coordinates.csv")
PAGA.new <- fread("/lustre/scratch117/cellgen/team218/gp7/Joe/PAGA_graph_single_cell_coordinates.csv", header=T)

PAGA <- cbind(PAGA.old, PAGA.new[ , c(2,3)])

PAGA[ ,`:=`(FA1=`0`,FA2=`1` )  ]

path_PSI_matrix_files <- "/lustre/scratch117/cellgen/team218/gp7/Joe/MicroExonator/Whippet/Quant/Collapsed/No_NA/"
files <- list.files(path=path_PSI_matrix_files, pattern = "*psi.tsv.gz" , recursive = F)

pseudopool_matrix <- rbindlist(lapply(paste0(path_PSI_matrix_files, files), fread), idcol = "origin")
pseudopool_matrix <- pseudopool_matrix[Sample!="Sample", V1:=basename(Sample)]
pseudopool_matrix.PAGA <- merge(pseudopool_matrix, PAGA, by="V1")

pseudopool_matrix.PAGA[, `:=`(PSI=as.numeric(Psi), SN_Reads=as.numeric(Total_Reads) )]

```


```{r}
library(RColorBrewer)

PAGA.new
```



```{r, fig.width=7, fig.height=7}




ggplot() +
  geom_point(data=PAGA, aes(FA1, FA2), colour="grey", alpha=0.05) +
  theme(legend.position = "top")

```


```{r, fig.width=7, fig.height=7}


node = "9:67029664-67029742"


ggplot() +
  geom_point(data=PAGA, aes(FA1, FA2), colour="grey", alpha=0.05) +
  geom_point(data=pseudopool_matrix.PAGA[Coord==node, ], aes(FA1, FA2, colour=PSI, size=log(SN_Reads) ), alpha=0.5 ) +
   scale_colour_gradient2(low = "steelblue", midpoint = 0.5, mid = "lightskyblue3", high = "firebrick", na.value = "gray40") +
  theme_bw() +
  theme(legend.position = "top")
```


```{r}
pseudo_bulk_membership <- fread("/lustre/scratch117/cellgen/team218/gp7/Joe/MicroExonator/Whippet/Heatmap/Pseudo_bulks/pseudo_bulk_membership.tsv")
pseudo_bulk_membership.melt <- pseudo_bulk_membership[, c(sample=strsplit(samples, ",")), by=pseudo_bulk_ID]
```





```{r}
pseudo_bulk_membership <- fread("/lustre/scratch117/cellgen/team218/gp7/Joe/MicroExonator/Whippet/Heatmap/Pseudo_bulks/pseudo_bulk_membership.tsv")
pseudo_bulk_membership.melt <- pseudo_bulk_membership[, c(sample=strsplit(samples, ",")), by=pseudo_bulk_ID]

pseudopool_matrix.PAGA.pseudopool <-  merge(pseudo_bulk_membership.melt, PAGA, by.x="sample", by.y="V1")


pseudopool_matrix.PAGA.pseudopool.stats <- pseudopool_matrix.PAGA.pseudopool[ , .(FA1=mean(FA1,  rm.na=T), FA2=mean(FA2, rm.na=T) ), by="pseudo_bulk_ID" ]


pseudopool_matrix.zscore.PAGA <- merge(pseudopool_matrix.zscore, pseudopool_matrix.PAGA.pseudopool.stats, by.x="pool_ID", by.y="pseudo_bulk_ID")
```

```{r}
pseudopool_matrix.zscore.PAGA.stats <- pseudopool_matrix.zscore.PAGA[Coord==node,  .(PSI=mean(PSI, rm.na=T)) , by=c("cluster", "Coord")]
```

```{r}
PAGA_graph_connectivities.melted$value <- as.numeric(as.character(PAGA_graph_connectivities.melted$value))

PAGA_graph_connectivities.melted[value==0, ]

is.data.table(PAGA_graph_connectivities.melted)
```

```{r}
node="15:77091812-77091854"
```


```{r, fig.width=7, fig.height=7}
pseudopool_matrix.zscore.PAGA

pseudopool_matrix.zscore.PAGA[ , `:=`(n_cells=.N, SN_Reads=sum(as.numeric(Total_Reads)), rm.na=T), by="pool_ID"]

pseudopool_matrix.zscore.PAGA[, `:=`(PSI=as.numeric(Psi)  )]




vert <- pseudopool_matrix.zscore.PAGA[Coord==node,  .(FA1=mean(FA1, rm.na=T), FA2=mean(FA2, rm.na=T)) , by=c("cluster", "Coord")]



edges <- merge(PAGA_net[ , .(Var1=as.character(Var1), Var2=as.character(Var2), value)], vert, by.x='Var1', by.y='cluster')
edges <- merge(edges, vert, by.x='Var2', by.y='cluster')




ggplot() +
  
        geom_point(data=vert, aes(FA1, FA2)) +
  
        geom_segment(data=edges, aes(x=FA1.x, y=FA2.x, xend = FA1.y, yend = FA2.y, size=value), colour="grey" ) + 
        geom_point(data=pseudopool_matrix.zscore.PAGA[Coord==node, ], aes(FA1, FA2, colour=PSI, size=log(n_cells)), position = position_jitter(w = 2e3, h = 2e3), alpha=0.5 ) +
                theme_bw() +
     scale_colour_gradient2(low = "steelblue", midpoint = 0.5, mid = "lightskyblue3", high = "firebrick", na.value = "gray40") +
    scale_size( range = c(0.01, 4)) +
        theme(legend.position = "top")




```




```{r}


colnames(PAGA_graph_connectivities.melted) <- c("Var1", "Var2", "value")
PAGA_graph_connectivities.melted$Var1 <- str(PAGA_graph_connectivities.melted$Var1)
PAGA_graph_connectivities.melted$Var2 <- str(PAGA_graph_connectivities.melted$Var2)

PAGA_graph_connectivities.melted$Var2 <- as.numeric(as.character(PAGA_graph_connectivities.melted$Var2 ))


PAGA_net <- merge(PAGA_graph_connectivities.melted[value>0.05 ], PAGA_graph_position, by.x='Var1', by.y='cluster')
PAGA_net <- merge(PAGA_net, PAGA_graph_position, by.x='Var2', by.y='cluster')


pseudopool_matrix.zscore.PAGA_graph <- merge(  pseudopool_matrix.zscore,  PAGA_graph_position[ , .(cluster=as.character(cluster), `0`, `1` )], by="cluster")

pseudopool_matrix.zscore.PAGA_graph[ , `:=`(n_cells=.N, SN_Reads=sum(as.numeric(Total_Reads)), rm.na=T), by="pool_ID"]
pseudopool_matrix.zscore.PAGA_graph[, `:=`(PSI=as.numeric(Psi)  )]
 
```

```{r}
PAGA_net
```


```{r}
edges[  Var2==0 & Var1==23, ]

```



```{r}


node = "9:67029664-67029742"




ggplot() +
     geom_segment(data=PAGA_net, aes(x=`0.x`, y=`1.x`, xend = `0.y`, yend = `1.y`, size=value), colour="grey" ) + 
  geom_point(data=pseudopool_matrix.zscore.PAGA_graph[Coord==node, ], aes(`0`, `1`, colour=PSI, size=log(n_cells)), position = position_jitter(w = 0.2, h = 0.2), alpha=0.5 ) +
  #geom_text(data=PAGA_graph_position, aes(`0`, `1`, label=cluster)) +
  scale_colour_gradient2(low = "steelblue", midpoint = 0.5, mid = "lightskyblue3", high = "firebrick", na.value = "gray40") + 
  scale_size( range = c(0.01, 4)) +
     theme_bw() 
```




```{r}
library(igraph)

g = read.graph("a-network.gml", format="gml")

#get the node coordinates
plotcord <- data.frame(layout.fruchterman.reingold(g))
colnames(plotcord) = c("X1","X2")

#get edges, which are pairs of node IDs
edgelist <- get.edgelist(g)

#convert to a four column edge data frame with source and destination coordinates
edges <- data.frame(plotcord[edgelist[,1],], plotcord[edgelist[,2],])
colnames(edges) <- c("X1","Y1","X2","Y2")

ggplot() + geom_segment(aes(x=X1, y=Y1, xend = X2, yend = Y2), data=edges, size = 0.5, colour="grey") + geom_point(aes(X1, X2), data=plotcord)
```


#### General view


```{r}

ggplot(pseudopool_matrix.zscore.PAGA[Coord==node, ]) +
        geom_point(aes(FA1, FA2, colour=cluster, size=log(n_cells)), position = position_jitter(w = 3e3, h = 3e3), alpha=0.5 ) +
                theme_bw() +
     #scale_colour_gradient2(low = "steelblue", midpoint = 0.5, mid = "lightskyblue3", high = "firebrick", na.value = "gray40") +
        theme(legend.position = "none") 
```



```{r, fig.height=7, fig.width=7}
library("ggrepel")

ggplot() +
  
        geom_point(data=PAGA, aes(FA1, FA2, colour=batch), alpha=0.2) +
  #      geom_point(data=pseudopool_matrix.zscore.PAGA[Coord==node, ], aes(FA1, FA2, colour=PSI, size=log(n_cells)), position = position_jitter(w = 2e3, h = 2e3), alpha=0.5 ) +
                theme_bw() +
  #   scale_colour_gradient2(low = "steelblue", midpoint = 0.5, mid = "lightskyblue3", high = "firebrick", na.value = "gray40") +
        theme(legend.position = "top") 
```

```{r}
gene_count <- fread('~/VASA/gene_TMP.3read_count.txt')
total_genes <- unique(gene_count$Gene)

total_genes.gene_table <- data.table(getBM(attributes=c('ensembl_gene_id', "mgi_symbol"),filters = 'ensembl_gene_id', values = total_genes , mart = ensembl_mm))

gene_count <- merge(gene_count, total_genes.gene_table, by.x="Gene", by.y="ensembl_gene_id")

total_genes.gene_table[ mgi_symbol %in% c( "Rbfox2", "Mbnl1", "Mbnl2", "Ptbp1", "Ptbp2", "Nova1", "Dnmt3b", "Camk2a"), ]


```



```{r}
total_genes.gene_table[ mgi_symbol %in% c( "Rbfox2", "Mbnl1", "Mbnl2", "Ptbp1", "Ptbp2", "Nova1", "Dnmt3b", "Camk2a", "Qki", "Hnrnpc", "Hnrnpf", "Espr1"), ]
```

```{r}
total_genes.gene_table[  toupper(mgi_symbol)   %in% RBP_annotation[`Splicing regulation`==1]$...1]
total_genes.gene_table[  mgi_symbol=="Srrm4", ]

```


```{r, fig.height=16, fig.width=10}
#Good
#Elavl2
#Msi1

#Bad
#Ptbp2

gene_vector <- c("Mbnl1", "Elavl2", "Rbfox2", "Rbm24", "Msi1", "Esrp1")
#gene_vector <- c("Elavl2", "Celf4", "Msi1", "Srrm4", "Elavl3", "Elavl1")


#gene_vector <- c("Mbnl1", "Ptbp2", "Rbfox2", "Rbm24", "Ptbp3", "Esrp1")

PAGA.genes <- merge( gene_count[mgi_symbol %in%  gene_vector,] , PAGA[ ,.(cell=V1, FA1, FA2)], by="cell", all.y=T  )

#PAGA.genes$cell <- factor( PAGA.genes$cell, levels= PAGA.genes[order(TpM)]$cell)


ggplot() +
        geom_point(data=PAGA, aes(FA1, FA2), color="lightgray", alpha=0.1) +  
        geom_point(data=PAGA.genes[!is.na(mgi_symbol) & !is.na(TpM), ][order(TpM)], aes(FA1, FA2, colour=log10(TpM)), alpha=0.2) +
  #      geom_point(data=pseudopool_matrix.zscore.PAGA[Coord==node, ], aes(FA1, FA2, colour=PSI, size=log(n_cells)), position = position_jitter(w = 2e3, h = 2e3), alpha=0.5 ) +
  
  facet_wrap(. ~ mgi_symbol, ncol=2) +
                theme_classic() +
     scale_colour_gradient2(low = "steelblue", midpoint = 2, mid = "lightskyblue3", high = "firebrick", na.value = "gray40", limits=c(0,4)) +
          theme(legend.position = "top", panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
panel.background = element_blank())  +
  theme(axis.title.x=element_blank(),
        axis.text.x=element_blank(),
        axis.ticks.x=element_blank(),
        axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank(), strip.text.x = element_text(size = 12, face="bold")
        )
```




```{r, fig.height=30, fig.width=30}

#Mbnl1 ENSMUSG00000027763
#Ptbp2 ENSMUSG00000028134
#Rbfox2 ENSMUSG00000033565
#Hnrnpll ENSMUSG00000024095
#Ptbp3 ENSMUSG00000028382


PAGA.genes <- merge( gene_count[ toupper(mgi_symbol)   %in% RBP_annotation[`Splicing regulation`==1]$...1,] , PAGA[ ,.(cell=V1, FA1, FA2)], by="cell", all.y=F  )

#PAGA.genes$cell <- factor( PAGA.genes$cell, levels= PAGA.genes[order(TpM)]$cell)


ggplot() +
        geom_point(data=PAGA.genes[is.na(TpM), ], aes(FA1, FA2), color="lightgray", alpha=0.1) +  
        geom_point(data=PAGA.genes[!is.na(TpM), ][order(TpM)], aes(FA1, FA2, colour=log10(TpM)), alpha=0.2) +
  #      geom_point(data=pseudopool_matrix.zscore.PAGA[Coord==node, ], aes(FA1, FA2, colour=PSI, size=log(n_cells)), position = position_jitter(w = 2e3, h = 2e3), alpha=0.5 ) +
  
  facet_wrap(. ~ mgi_symbol, ncol=10) +
                theme_bw() +
     scale_colour_gradient2(low = "steelblue", midpoint = 2, mid = "lightskyblue3", high = "firebrick", na.value = "gray40", limits=c(0,4)) +
        theme(legend.position = "top") 
```


```{r}
cell_annotations.anna <-  fread("/lustre/scratch117/cellgen/team218/gp7/Joe/MicroExonator/umap_NoRegressedAnnotations.tsv")
head(cell_annotations.anna)
```




```{r}
cluster_names <- fread("/lustre/scratch117/cellgen/team218/gp7/Joe/Jupyter/cluster_names.tvs")
cluster_names$cluster <- as.character(cluster_names$cluster) 

vert.names <- merge(vert, cluster_names, by="cluster")


```


```{r, fig.width=14, fig.height=9}


    

ggplot() +
  
    geom_point(data=pseudopool_matrix.zscore.PAGA[Coord==node, ], aes(FA1, FA2, size=log(n_cells), color=cluster), position = position_jitter(w = 3e3, h = 3e3), alpha=0.5 ) +  
          geom_segment(data=edges, aes(x=FA1.x, y=FA2.x, xend = FA1.y, yend = FA2.y, size=value), colour="grey" ) + 

xlab("FoceAtlas1") +
  ylab("FoceAtlas2") +
                  theme_bw() +
    scale_size( range = c(0.01, 4)) +
        theme(legend.position = "none") +
  
            geom_text(data=vert.names, aes(FA1, FA2, label=cluster, ),fontface='bold', colour="black", size=5)  +
    geom_text_repel(data = vert.names, colour="black", aes(FA1, FA2), 
    box.padding = unit(0.8, 'lines'),
    point.padding = 0.8,
    size =4.5, 
                label=vert.names$cell_type )  
  

```


```{r}


vert.names[cluster %in% c("34", "32", "27", "28", "32"), Class:="Cardiac"]
vert.names[cluster %in% c("23", "0", "23", "36", "39" ) ,  Class:="Erythroid"]
vert.names[cluster %in% c("6", "13", "30"),  Class:="Spinal Coord"]
vert.names[cluster %in% c("9", "10", "12" ),  Class:="Brain"]
vert.names[cluster %in% c("14", "21" ),  Class:="Neural crest"]
vert.names[cluster %in% c("4", "11", "18", "24", "29"   ),  Class:="Epiblast"]
vert.names[cluster %in% c("19" ),  Class:="Extra embryonic"]
vert.names[cluster %in% c("3", "5", "35"), Class:="Mesoderm"]
vert.names[cluster %in% c("25"), Class:="Endoderm"]

vert.names[  is.na(Class), Class:="Other"]
```



```{r, fig.width=10, fig.height=7}

fig6.a <- ggplot() +
          geom_segment(data=edges, aes(x=FA1.x, y=FA2.x, xend = FA1.y, yend = FA2.y, size=value), colour="grey" ) + 

xlab("FoceAtlas1") +
  ylab("FoceAtlas2") +
                  theme_bw() +
    scale_size( range = c(0.01, 2)) +
        theme(legend.position = "top") +
    geom_text_repel(data = vert.names, colour="black", aes(FA1, FA2), size=2.7, 
    box.padding = unit(1, 'lines'),
     point.padding = 0.5,
    segment.size=0.2,
    max.overlaps=Inf,
    segment.linetype="dashed",
                label=vert.names$cell_type )  +
  
          geom_text(data=vert.names, aes(FA1, FA2, label=cluster, colour=Class ),


                    fontface='bold', size=4) 

fig6.a
```





```{r}
library("ggrepel")

ggplot()+
  geom_point(data=total_diff, aes(-DeltaPsi.mean, Probability.mean), alpha=0.1, colour="grey" ) +
  geom_point(data=total_diff[ diff==TRUE, ], aes(-DeltaPsi.mean, Probability.mean, size=-log10(cdf.beta), color=Type), alpha=0.5) +
  ylab("Mean Probability") + 
   xlab("Mean dPSI") +
   # facet_grid(. ~ diff_name) +
  facet_wrap(~   diff_type + diff_name) +
  theme_bw() +
  scale_color_manual (values=gg_color_hue(9), drop=F) +
 theme(legend.position = "top")  +
  ylim(0.5, 1.25) +
  
#  geom_text_repel(data = total_diff[diff==TRUE &  toupper(mgi_symbol) %in% interesting_genes, ],
 #               colour="black", aes(-DeltaPsi.mean, Probability.mean), 
  #              nudge_y      = 0.07,
   #             direction    = "x",
    #            angle        = 90,
     #           vjust        = 1,
      #          segment.size = 0.1,
       #         max.overlaps  = Inf,
        #        label=total_diff[diff==TRUE &  toupper(mgi_symbol) %in% interesting_genes , mgi_symbol] ) 

  
  geom_text_repel(data = total_diff[diff==TRUE &  toupper(mgi_symbol) %in% splicing_regulation, ],
                colour="black", aes(-DeltaPsi.mean, Probability.mean), 
                nudge_y      = 0.07,
                direction    = "x",
                angle        = 90,
                vjust        = 1,
                segment.size = 0.1,
                label=total_diff[diff==TRUE &  toupper(mgi_symbol) %in% splicing_regulation , mgi_symbol] ) 
```

